Abstract
In this research, the proposed research methodology comprising of the following elements: (a) Mass Spring Model (MSM)—to model human liver as a collection of mass points linked by a network of springs, (b) Knowledge-based Fuzzy MSM Parameters Controller (FMPC)—to obtain the corresponding stiffness coefficients regarding different liver illnesses, (c) Utilization of Computer Unified Architecture (CUDA)—to utilize as a platform or framework for GPU and CPU distribution of computational works.
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References
Basafa, E., & Farahmand, F. (2011). Real-time simulation of the nonlinear visco-elastic deformations of soft tissues. International Journal of Computer Assisted Radiology and Surgery, 6, 297–307.
Kerdok, A. E. (2006). Characterizing the nonlinear mechanical response of liver to surgical manipulation. Dissertation for Degree of Doctor of Philosophy. Massachusetts: Harvard University.
CUDA, C. (2013). Programming Guide v5. 5. NVIDIA Corporation, July. https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html.
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Tan, J.S.Y., Sidhu, A.S. (2019). Methodology. In: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation. Studies in Computational Intelligence(), vol 832. Springer, Cham. https://doi.org/10.1007/978-3-030-15585-8_3
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DOI: https://doi.org/10.1007/978-3-030-15585-8_3
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